AWS: Machine Learning & MLOps Foundations
Completed by Ming-Un Myron Chang
March 29, 2026
5 hours (approximately)
Ming-Un Myron Chang's account is verified. Coursera certifies their successful completion of AWS: Machine Learning & MLOps Foundations
What you will learn
Explore the core concepts of Machine Learning and how it differs from AI and Deep Learning.
Introduce key AWS services and MLOps practices for managing the end-to-end ML lifecycle.
Explore how to build and evaluate classification and regression models using AWS ML services.
Differentiate between batch and real-time inferencing methods and identify suitable use cases for each.
Skills you will gain
- Category: MLOps (Machine Learning Operations)
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Data Processing
- Category: Unsupervised Learning
- Category: Machine Learning Methods
- Category: Classification Algorithms
- Category: Amazon Web Services
- Category: Model Training
- Category: Predictive Modeling
- Category: Machine Learning
- Category: AWS SageMaker
- Category: Data Preprocessing
